Model Risk Management Manager

About Us 

Do you want to be part of Thailand banking transformation? Data is the core of the new financial services era, and we are open for the opportunity to be part to drive this change at the core. 

SCB DATAx is a new venture of the Siam Commercial Bank (SCB) holdings, a leading financial services and digital services holdings in Thailand and ASEAN. 

As part of the transformation of SCB into a group of product and technology companies, under the SCBx brand, SCB DATAx is the technology company to centralize data and provide AI and data science services and products to the group.  

With a leading-edge cloud native data & AI platform, our vision is to support the group to providing everyone in our region with the opportunity to prosper. 

We work on forward-thinking challenges of centralizing, analyzing and sharing information. We collaborate with companies and experts in many different domains, embrace diversity and all that while having a good laugh and joy in work. 

Responsibilities

  • Develop and implement a comprehensive AI/ML model risk management framework, policies, and procedures. 
  • Assess and evaluate the risk associated with AI/ML models, including model development, validation, implementation, and ongoing monitoring. 
  • Collaborate with cross-functional teams to identify potential risks and ensure appropriate controls and governance are in place. 
  • Conduct model risk assessments, including evaluating model assumptions, data quality, model performance, and model implementation risks. 
  • Develop and implement model validation methodologies and processes for AI/ML models. 
  • Monitor and track model performance and ensure compliance with regulatory requirements and internal policies. 
  • Collaborate with data scientists, model developers, and business stakeholders to enhance the model risk management framework and processes. 
  • Provide guidance and recommendations to senior management on model risk-related matters. 
  • Stay updated on industry best practices, regulatory requirements, and emerging trends in AI/ML model risk management. 
  • Lead a team of model risk management professionals, providing coaching, mentorship, and performance management 

Qualifications

  • Bachelor's degree or higher degree in Mathematics, Statistics, Computer Science or any relevant fields.  
  • 7+ years of experience in model risk management, with a focus on AI/ML models. 
  • Strong understanding of AI/ML model development and validation processes. 
  • In-depth knowledge of regulatory requirements related to model risk management. 
  • Proficiency in using modeling tools and techniques. 
  • Excellent analytical and problem-solving skills, with the ability to assess model risks and recommend appropriate controls. 
  • Strong project management and organizational skills, with the ability to manage multiple initiatives simultaneously. 
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels. 
  • Leadership experience, including managing and developing a team. 
  • Strong attention to detail and ability to work in a fast-paced, dynamic environment

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